The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper proposes a password security system that allows the host not to store the passwords of its users at its end. Instead it creates and stores a derivative of the password with the help of a bitmap image uploaded by the user during the user creation process. During the login attempts of users, the user is required to enter the password and upload the same image. the proposed system verifies...
This paper proposes a convolutional neural network architecture for blood vessel segmentation in retinal images. The network structure is designed on 7 layers using MatConvNet (three convolutional layers, two pooling layers, one dropout layer and a Softmax layer). The input data, selected from the DRIVE database, of the neural network is preprocessed in Matlab on Green channel. The retinal image was...
Osteoarthritis has become a very rapidly spreading disorder of bones and joints among old people and young athletes indulging in sports such as soccer, hockey, etc. Injuries of the knee like tears in the meniscus can be seen very commonly in young athletes as well as the aged people. The Computer-Aided Diagnosis (CAD) systems help to a large extent and can play a major role in their detection. In...
The optic disc (OD) segmentation in an retinal image is prerequisite for an computerized detection of diabetic retinopathy and also for monitoring changes due to diseases such as glaucoma. The OD segmentation is also used for the detection of other anatomical structures like fovea and vascular tree. Many algorithms based on thresholding, active contour model, GVF snake and clustering have been proposed...
In our daily life we develop many activities that result imperceptible for the majority of us because the null effort that they represent to develop them, however, when we most develop those activities with any type of restriction, they acquire a higher level of difficulty. One simple activity is the communication process; we develop it in an easy way during almost all day, however, for people with...
Breast mass segmentation in digital mammography is one of the most significant methods of breast cancer prevention. An integrated approach for mammographic mass segmentation is proposed in this paper. Given a mammographic image, it is first eliminated interference and enhanced in the preprocessing states. Then, the preprocessed images are detected and segmented by level set method. A preliminary evaluation...
How much does a single image reveal about the environment it was taken in? In this paper, we investigate how much of that information can be retrieved from a foreground object, combined with the background (i.e. the visible part of the environment). Assuming it is not perfectly diffuse, the foreground object acts as a complexly shaped andfar-from-perfect mirror An additional challenge is that its...
The use of tattoos as a soft biometric is increasing in popularity among law enforcement communities. There is great need for large scale, publicly available tattoo datasets that can be used to standardize efforts to develop tattoo-based biometric systems. In this work, we introduce a large tattoo dataset (WVU-MediaTatt) collected from a social-media website. Additionally, we provide the source links...
There is a particular interest and a broad consensus in developing reliable, fast, easy to use and inexpensive specimen identification methods that reduce stress and injuries produced by traditional marking methods. Picture based identification methods use unique natural tags or spots to identify specimens. This works presents some Digital Image Processing techniques for the identification of melanophryniscus...
Convolutional Neural Networks (CNNs) have shown great success in solving key artificial vision challenges such as image segmentation. Training these networks, however, normally requires plenty of labeled data, while data labeling is an expensive and time-consuming task, due to the significant human effort involved. In this paper we propose two pixel-level domain adaptation methods, introducing a training...
It is widely known that biometric systems based on adults fingerprints have reached an outstanding performance when compared against other biometric traits. This explains their extensive use by governmental agencies in charge of citizen identification. Nevertheless, the performance is highly degraded when fingerprints of newborns or toddlers are used. In this work, we analyze the performance of existing...
Although 3D ultrasound plays an increasingly important role, 2D echocardiography remains the main clinical imaging modality for cardiac function assessment in daily practice. This requires precise delineation of the myocardium at end diastole (ED) and systole (ES). Because of intrinsic high variability in image quality, manual interactions are still needed. In this study, we investigate a machine...
The human brain consists of two hemispheres, right and left. These two hemispheres are almost symmetrical, not perfectly. However, in neurological diseases, the volumetric losses in the brain begin to deteriorate asymmetrically between the two hemispheres. This deterioration can be local or global in the brain. Symmetry deterioration can be a biomarker in the early stage diagnosis and the following...
This paper presents a comparative study of two recent word spotting techniques ([1] and [2]) directly in the run-length compressed domain. The first technique is based on partial decompression and limited usage of OCR, and the second technique is completely decompression-less and OCR-less. Both the word spotting techniques use word bounding box ratio feature initially for matching words in the database...
The iris has remained a preferred biometric trait compared to other biometrics because of its uniqueness, stability properties. However, degraded iris images captured under less constrained acquisition setups and varying lighting conditions will affect the performance of iris based biometrics systems. This paper presents a novel method for iris recognition through symbolic modeling approach and also...
Command extraction from human beings becomes easier for a machine if it can analyze the non verbal ways of communication such as emotions. This paper focuses on improving the efficiency of extracting emotion from human facial expression images. The features that were extracted in this experiment were obtained from JAFFE (Japanese Female Facial Expression) database which includes 213 images of different...
The present work proposes to recognize the static hand gestures taken under invariations features as scale, rotation, translation, illumination, noise and background. We use the alphabet of sign language of Peru (LSP). For this purpose, digital image processing techniques are used to eliminate or reduce noise, to improve the contrast under a variant illumination, to separate the hand from the background...
Currently, the American Sign Language (ASL), expressed through the use of body gestures (hand, face, torso) and perceived through the eyes, is the standard language of communication used by the Deaf community. Our main objective is to implement an automated translation system that is capable of translating ASL to English text using common computing environments such as a computer and a generic webcam...
The chest X-ray is one of the most commonly accessible radiological examinations for screening and diagnosis of many lung diseases. A tremendous number of X-ray imaging studies accompanied by radiological reports are accumulated and stored in many modern hospitals Picture Archiving and Communication Systems (PACS). On the other side, it is still an open question how this type of hospital-size knowledge...
Forest stands are a basic unit of analysis for forest inventory and mapping. Stands are defined as large forested areas of homogeneous tree species composition and age. Their accurate delineation is usually performed by human operators through visual analysis of very high resolution (VHR) infra-red and visible images. This task is tedious, highly time consuming, and needs to be automated for scalability...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.